Geometric Structure of High-Dimensional Data and Dimensionality Reduction
Geometric Structure of High-Dimensional Data and Dimensionality Reduction adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction…
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Produktdetails
- ISBN: 978-3-642-27497-8
- EAN: 9783642274978
- Produktnummer: 18258657
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 356 S.
- Plattform: PDF
- Masse: 9'010 KB
- Auflage: 2012
- Abbildungen: 91 schwarz-weiße Abbildungen, Bibliographie
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